Bibliographic record
Abstract
RESUMO Este artigo defende que os princípios dialógicos do discurso são aplicáveis tanto a linguagens verbais como a linguagens icônicas, já que compartilham certas funções, como a importantíssima função metalinguística. O artigo estuda detalhadamente, por uma perspectiva bakhtiniana, uma série de seis pinturas criadas pelo artista holandês do Século XVII Nicolaes Maes (1634-1693). Cada pintura representa poses e gestos diferentes de um bisbilhoteiro, de tal maneira que o analista-observador bakhtiniano é obrigado a ver como a pintura desse tipo curioso combina de maneiras surpreendentes linguagens verbais e visuais. As telas de bisbilhoteiros de Maes concernem à curiosidade, reunindo personagens que poderiam ter preferido permanecer independentes umas das outras. As telas apresentam códigos gestuais, corporais, linguísticos e cromáticos, fazendo o material visual funcionar criativamente e permitindo que cada linguagem se beneficie das vantagens expressivas das outras. Combinam-se aí várias perspectivas para mostrar que as capacidades expressivas de toda linguagem dada são necessariamente mais pobres quando recorrem a um único meio. Uma perspectiva bakhtiniana pode derramar nova luz sobre as pinturas de Nicolaes Maes, ao mesmo tempo em que a análise ilumina novas possibilidades semânticas no pensamento de Bakhtin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".